Infant Vomit Detection Using ShuffleNetV2
學年 112
學期 1
發表日期 2023-11-14
作品名稱 Infant Vomit Detection Using ShuffleNetV2
作品名稱（其他語言）
著者 Chang, Chuan-yu; Lin, Xin-hui; Hsu, Hui-huang
作品所屬單位
出版者
會議名稱 The 21st IEEE International Conference on Pervasive Intelligence and Computing
會議地點 Abu Dhabi, UAE
摘要 Infants often experience phenomena such as vomiting during the neonatal period. Typically, vomiting is when the food or milk in the baby's stomach comes out of the mouth after feeding, usually due to poor digestion or overeating. Therefore, this paper proposes a monitoring system to assist parents in being aware of whether their infant is vomiting even when they briefly divert their attention. The system consists of two stages: first, the utilization of YOLO5FACE for detecting the infant's face and capturing the baby's mouth region. Image processing techniques enhance color saturation in the captured mouth images. And then, ShuffleNetV2 extracts image features, and finally, frame differencing is utilized to determine if vomiting has occurred. Parents can be immediately notified of abnormal conditions by promptly detecting such incidents. The proposed method successfully and rapidly detects vomiting in videos with an accuracy of 98.30%.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20231114~20231117
通訊作者
國別 ARE
公開徵稿
出版型式
出處 DASC-PICOM-CBDCOM-CYBERSCITECH 2023,　p.108-149
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/124897 )